¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI

In certain circumstances, data prepared by projects cannot be published openly. In the last decades different projects have published derived data (also called extracted features) to avoid this problem. In this article, we argue in favor of TEI as a format for this task, as it favors compliance with...

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Main Authors: José Calvo Tello, Nanette Rißler-Pipka
Format: Article
Language:deu
Published: Text Encoding Initiative Consortium 2023-08-01
Series:Journal of the Text Encoding Initiative
Subjects:
Online Access:https://journals.openedition.org/jtei/4720
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author José Calvo Tello
Nanette Rißler-Pipka
author_facet José Calvo Tello
Nanette Rißler-Pipka
author_sort José Calvo Tello
collection DOAJ
description In certain circumstances, data prepared by projects cannot be published openly. In the last decades different projects have published derived data (also called extracted features) to avoid this problem. In this article, we argue in favor of TEI as a format for this task, as it favors compliance with the FAIR principles. Furthermore, we present different options, discuss their advantages and disadvantages and show concrete applications to several projects with Spanish texts (CORDE, novels of the Silver Age and texts by Picasso).
format Article
id doaj-art-f10c3acdff5f48589e881de97e694f75
institution Kabale University
issn 2162-5603
language deu
publishDate 2023-08-01
publisher Text Encoding Initiative Consortium
record_format Article
series Journal of the Text Encoding Initiative
spelling doaj-art-f10c3acdff5f48589e881de97e694f752025-01-30T13:56:43ZdeuText Encoding Initiative ConsortiumJournal of the Text Encoding Initiative2162-56032023-08-011610.4000/jtei.4720¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEIJosé Calvo TelloNanette Rißler-PipkaIn certain circumstances, data prepared by projects cannot be published openly. In the last decades different projects have published derived data (also called extracted features) to avoid this problem. In this article, we argue in favor of TEI as a format for this task, as it favors compliance with the FAIR principles. Furthermore, we present different options, discuss their advantages and disadvantages and show concrete applications to several projects with Spanish texts (CORDE, novels of the Silver Age and texts by Picasso).https://journals.openedition.org/jtei/4720corporaSpanish literaturelegal issuesderived dataextracted featurescopyright
spellingShingle José Calvo Tello
Nanette Rißler-Pipka
¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI
Journal of the Text Encoding Initiative
corpora
Spanish literature
legal issues
derived data
extracted features
copyright
title ¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI
title_full ¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI
title_fullStr ¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI
title_full_unstemmed ¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI
title_short ¿Qué hacer con textos que no se pueden publicar? Datos derivados, criterios FAIR y TEI
title_sort que hacer con textos que no se pueden publicar datos derivados criterios fair y tei
topic corpora
Spanish literature
legal issues
derived data
extracted features
copyright
url https://journals.openedition.org/jtei/4720
work_keys_str_mv AT josecalvotello quehacercontextosquenosepuedenpublicardatosderivadoscriteriosfairytei
AT nanetterißlerpipka quehacercontextosquenosepuedenpublicardatosderivadoscriteriosfairytei